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Interactive agent picker for composing and dispatching parallel teams. Select agents by capability, assign tasks, and coordinate execution.

Agentic engineering operating model: eval-first execution, task decomposition, cost-aware model routing by complexity, and structured agent workflow patterns.

Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing backlog.

Declarative intermediate schema pattern for AI agent task execution: intent capture, schema validation, execution planning, and result verification. Separates what from how in agent workflows.

Pre-mortem plan analysis. Imagine the plan failed 12 months from now and work backwards to find the weaknesses. Surfaces assumptions, dependencies, and execution risks before committing resources. Use when before significant resource commitment, before presenting to a board or investors, when feedback has been one-sidedly positive, or when there is pressure to move fast and figure it out later.

Reference MCP server for SQLite database operations with query execution, schema inspection, and business insight memo generation.

Perl security: taint mode, input validation, safe process execution, DBI parameterized queries, XSS/SQLi/CSRF prevention, and perlcritic policies.

RFC-driven multi-agent DAG execution: quality gates, merge queues, work unit orchestration, and structured parallel development.

Eval-first execution with cost-aware routing

Declarative intent-to-execution separation